London - ML Ops Engineer II (Experiences) (AI)

Location: Hybrid role based in London, UK; candidates must already be based in London or within 1.5 hours. Hybrid attendance is approximately twice per month.

Company

hirify.global connects travelers with experiences, accommodations, restaurants, and other travel services through content and two-sided marketplaces.

What you will do

• Build tools, infrastructure, and support systems that enable Data Science and ML teams to execute machine learning and AI processes.
• Develop and evolve technology running in the AWS cloud while adopting suitable cloud solutions.
• Build and maintain infrastructure for pre-computed, batch, and real-time model serving.
• Own software engineering activities from design and implementation through QA, maintenance, and support.
• Monitor ML pipelines for accuracy, drift, changes, SLAs, and processing volumes.
• Collaborate with cross-functional stakeholders to define and document requirements for ML and AI products.

Requirements

• 2+ years of experience in MLOps and modern ML infrastructure across the model lifecycle.
• Hands-on experience with AWS and/or GCP and infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience with CI/CD processes and platforms.
• Exposure to technologies such as Kubernetes, Docker, Python, Java, MLflow, SageMaker, Kubeflow, Seldon, KServe, Ray Serve, Spark, Pandas, Argo CD, PostgreSQL, Snowflake, or BigQuery.
• Ability to work across diverse technologies and contribute effectively both independently and in cross-functional teams.
• Strong verbal and written communication, ownership, urgency, and attention to quality.

Nice to have

• Experience with vector or graph databases.
• Model optimization for high-throughput, low-latency, and cost-efficient applications.
• LLMOps experience with open-source models.

Culture & Benefits

• Flexible schedule and a remote-friendly collaboration approach, with on-site participation available in select locations.
• Base salary, annual bonus, and equity as part of the compensation package.
• Health benefits, employee assistance, and an annual lifestyle benefit.
• Tuition assistance, donation matching, and travel discounts.
• Culture focused on curiosity, collaboration, inclusion, customer service, and continuous improvement.